Comment by jpc0
> 2. LLMs are already a massively useful technology that we are just starting to learn how to use and to derive business value from, and even without scaling to AGI, will become more and more prevalent.
No offence but every use of AI I have tried has been amazing but I haven't been comfortable deploying as a business use. The one or two places it is "good enough" it is effectively just reducing workforce and that reduction isn't translating into lower costs or general uplift, it is currently translating into job losses and increased profit margins.
I'm AI sceptical, I feel it is a tradeoff where quality of output is reduced but also is (currently) cheaper so businesses are willing to jump in.
At what point does OpenAI/Claude/Gemini etc stop hyperscaling and start running a profit which will translate into higher costs. So then the current reduction in cost isn't there. We will be left holding the bag of higher unemployment and an inferior product that costs the same amount of money.
There are large unanswered questions about AI which makes me entirely anti-AI. Sure the technology is amazing as it stands, but it is fundamentally a lossy abstraction over reality and many people will happily accept the lossy abstraction but not look forward into what happens when that is the only option you have and it's no cheaper than the less lossy option (humans).
> The one or two places it is "good enough" it is effectively just reducing workforce and that reduction isn't translating into lower costs or general uplift, it is currently translating into job losses and increased profit margins
What sort of examples show this?